Iterative Approaches to Find Zeros of Maximal Monotone Operators by Hybrid Approximate Proximal Point Methods

被引：3

作者：

Ceng, Lu Chuan ^{[2
]}

Liou, Yeong Cheng ^{[3
]}

Naraghirad, Eskandar ^{[1
]}

机构：

[1] Univ Yasuj, Dept Math, Yasuj 75914, Iran

[2] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China

[3] Cheng Shiu Univ, Dept Informat Management, Kaohsiung 833, Taiwan

来源：

FIXED POINT THEORY AND APPLICATIONS | 2011年

关键词：

STRONG-CONVERGENCE; ALGORITHMS; WEAK;

D O I：

10.1155/2011/282171

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The purpose of this paper is to introduce and investigate two kinds of iterative algorithms for the problem of finding zeros of maximal monotone operators. Weak and strong convergence theorems are established in a real Hilbert space. As applications, we consider a problem of finding a minimizer of a convex function.

引用

页数：18

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